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Mid LevelFull-timePythonAWSGCPPostgreSQLMachine LearningData ScienceAgileGitAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an experienced Data Engineer to join the Data Products team within the SIPS division at SoFi, a next-generation financial services company. This role involves driving high-standard technical solutions to support data engineering and reporting for SoFi’s Financial Services products.
Key Responsibilities
- →Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval.
- →Optimize data engineering systems and processes to handle large-scale data sets efficiently.
- →Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
- →Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations.
Requirements
- ✓A bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- ✓2-5 years of experience in data engineering and analytics technical strategy.
- ✓Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others..
- ✓Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP.
- ✓Experience leveraging AI tools in data workflows; Cursor / Claude Code / Co Pilot.
- ✓Strong in Python and/or another data-centric language.
- ✓Thorough knowledge of data modeling, database design, data architecture principles, and data operations.
- ✓Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
- ✓Experience in the Fintech industry is advantageous.
- ✓This role includes a travel requirement of up to 10–15%.
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